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Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand

The adverse human health effects as a result of antimicrobial resistance have been recognized worldwide. Salmonella is a leading cause of foodborne illnesses while antimicrobial resistant (AMR) Salmonella has been isolated from foods of animal origin. The quantitative risk assessment (RA) as part of...

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Autores principales: Pulsrikarn, Chaiwat, Kedsin, Anusak, Boueroy, Parichart, Chopjitt, Peechanika, Hatrongjit, Rujirat, Chansiripornchai, Piyarat, Suanpairintr, Nipattra, Nuanualsuwan, Suphachai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562186/
https://www.ncbi.nlm.nih.gov/pubmed/36230018
http://dx.doi.org/10.3390/foods11192942
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author Pulsrikarn, Chaiwat
Kedsin, Anusak
Boueroy, Parichart
Chopjitt, Peechanika
Hatrongjit, Rujirat
Chansiripornchai, Piyarat
Suanpairintr, Nipattra
Nuanualsuwan, Suphachai
author_facet Pulsrikarn, Chaiwat
Kedsin, Anusak
Boueroy, Parichart
Chopjitt, Peechanika
Hatrongjit, Rujirat
Chansiripornchai, Piyarat
Suanpairintr, Nipattra
Nuanualsuwan, Suphachai
author_sort Pulsrikarn, Chaiwat
collection PubMed
description The adverse human health effects as a result of antimicrobial resistance have been recognized worldwide. Salmonella is a leading cause of foodborne illnesses while antimicrobial resistant (AMR) Salmonella has been isolated from foods of animal origin. The quantitative risk assessment (RA) as part of the guidelines for the risk analysis of foodborne antimicrobial resistance was issued by the Codex Alimentarius Commission more than a decade ago. However, only two risk assessments reported the human health effects of AMR Salmonella in dry-cured pork sausage and pork mince. Therefore, the objective of this study was to quantitatively evaluate the adverse health effects attributable to consuming retail pork contaminated with Salmonella using risk assessment models. The sampling frame covered pork at the fresh market (n = 100) and modern trade where pork is refrigerated (n = 50) in Chiang Mai province in northern Thailand. The predictive microbiology models were used in the steps where data were lacking. Susceptible and quinolone-resistant (QR) Salmonella were determined by antimicrobial susceptibility testing and the presence of AMR genes. The probability of mortality conditional to foodborne illness by susceptible Salmonella was modeled as the hazard characterization of susceptible and QR Salmonella. For QR Salmonella, the probabilistic prevalences from the fresh market and modern trade were 28.4 and 1.9%, respectively; the mean concentrations from the fresh market and modern trade were 346 and 0.02 colony forming units/g, respectively. The probability of illness (P(I)) and probability of mortality given illness (P(MI)) from QR Salmonella-contaminated pork at retails in Chiang Mai province were in the range of 2.2 × 10(−8)–3.1 × 10(−4) and 3.9 × 10(−10)–5.4 × 10(−6), respectively, while those from susceptible Salmonella contaminated-pork at retails were in the range 1.8 × 10(−4)–3.2 × 10(−4) and 2.3 × 10(−7)–4.2 × 10(−7), respectively. After 1000 iterations of Monte Carlo simulations of the risk assessment models, the annual mortality rates for QR salmonellosis simulated by the risk assessment models were in the range of 0–32, which is in line with the AMR adverse health effects previously reported. Therefore, the risk assessment models used in both exposure assessment and hazard characterization were applicable to evaluate the adverse health effects of AMR Salmonella spp. in Thailand.
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spelling pubmed-95621862022-10-15 Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand Pulsrikarn, Chaiwat Kedsin, Anusak Boueroy, Parichart Chopjitt, Peechanika Hatrongjit, Rujirat Chansiripornchai, Piyarat Suanpairintr, Nipattra Nuanualsuwan, Suphachai Foods Article The adverse human health effects as a result of antimicrobial resistance have been recognized worldwide. Salmonella is a leading cause of foodborne illnesses while antimicrobial resistant (AMR) Salmonella has been isolated from foods of animal origin. The quantitative risk assessment (RA) as part of the guidelines for the risk analysis of foodborne antimicrobial resistance was issued by the Codex Alimentarius Commission more than a decade ago. However, only two risk assessments reported the human health effects of AMR Salmonella in dry-cured pork sausage and pork mince. Therefore, the objective of this study was to quantitatively evaluate the adverse health effects attributable to consuming retail pork contaminated with Salmonella using risk assessment models. The sampling frame covered pork at the fresh market (n = 100) and modern trade where pork is refrigerated (n = 50) in Chiang Mai province in northern Thailand. The predictive microbiology models were used in the steps where data were lacking. Susceptible and quinolone-resistant (QR) Salmonella were determined by antimicrobial susceptibility testing and the presence of AMR genes. The probability of mortality conditional to foodborne illness by susceptible Salmonella was modeled as the hazard characterization of susceptible and QR Salmonella. For QR Salmonella, the probabilistic prevalences from the fresh market and modern trade were 28.4 and 1.9%, respectively; the mean concentrations from the fresh market and modern trade were 346 and 0.02 colony forming units/g, respectively. The probability of illness (P(I)) and probability of mortality given illness (P(MI)) from QR Salmonella-contaminated pork at retails in Chiang Mai province were in the range of 2.2 × 10(−8)–3.1 × 10(−4) and 3.9 × 10(−10)–5.4 × 10(−6), respectively, while those from susceptible Salmonella contaminated-pork at retails were in the range 1.8 × 10(−4)–3.2 × 10(−4) and 2.3 × 10(−7)–4.2 × 10(−7), respectively. After 1000 iterations of Monte Carlo simulations of the risk assessment models, the annual mortality rates for QR salmonellosis simulated by the risk assessment models were in the range of 0–32, which is in line with the AMR adverse health effects previously reported. Therefore, the risk assessment models used in both exposure assessment and hazard characterization were applicable to evaluate the adverse health effects of AMR Salmonella spp. in Thailand. MDPI 2022-09-20 /pmc/articles/PMC9562186/ /pubmed/36230018 http://dx.doi.org/10.3390/foods11192942 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pulsrikarn, Chaiwat
Kedsin, Anusak
Boueroy, Parichart
Chopjitt, Peechanika
Hatrongjit, Rujirat
Chansiripornchai, Piyarat
Suanpairintr, Nipattra
Nuanualsuwan, Suphachai
Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand
title Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand
title_full Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand
title_fullStr Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand
title_full_unstemmed Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand
title_short Quantitative Risk Assessment of Susceptible and Ciprofloxacin-Resistant Salmonella from Retail Pork in Chiang Mai Province in Northern Thailand
title_sort quantitative risk assessment of susceptible and ciprofloxacin-resistant salmonella from retail pork in chiang mai province in northern thailand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562186/
https://www.ncbi.nlm.nih.gov/pubmed/36230018
http://dx.doi.org/10.3390/foods11192942
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